This notebook contains a set of analyses for analyzing Quinns’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
Quinns | training | published before 2020 | 207 | 393 |
Quinns | validation | published 2020 | 14 | 21 |
Quinns | test | published after 2020 | 9 | 13 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
Quinns | CMON Global Limited | 3.9% | 0.3% | 11.36 |
Quinns | Fantasy Flight Games | 11.6% | 1.1% | 10.77 |
Quinns | Renegade Game Studios | 2.9% | 0.4% | 7.51 |
Quinns | ZMan Games | 9.2% | 1.4% | 6.69 |
Quinns | Pegasus Spiele | 14.0% | 2.1% | 6.65 |
Quinns | Space Exploration | 7.2% | 1.1% | 6.34 |
Quinns | Teambased Game | 14.0% | 4.6% | 3.04 |
Quinns | Unknown | 2.4% | 0.9% | 2.73 |
Quinns | Deduction Game | 10.6% | 5.0% | 2.11 |
Quinns | Hand Management | 42.0% | 20.0% | 2.10 |
Quinns | Ravensburger | 3.9% | 2.5% | 1.57 |
Quinns | Dice Rolling | 23.7% | 28.5% | 0.83 |
Quinns | Wargame | 6.3% | 18.8% | 0.33 |
Quinns | Movies TV Radio Theme | 1.4% | 5.0% | 0.29 |
Quinns | Roll Spin And Move | 0.5% | 6.8% | 0.07 |
Quinns | Stock Holding | 0.0% | 1.4% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.866 | no |
2 | 2018 | 205896 | Rising Sun | 0.722 | no |
3 | 2016 | 187645 | Star Wars: Rebellion | 0.667 | yes |
4 | 2007 | 28143 | Race for the Galaxy | 0.667 | yes |
5 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.652 | no |
6 | 2019 | 281946 | Aftermath | 0.591 | no |
7 | 2011 | 96848 | Mage Knight Board Game | 0.566 | no |
8 | 2016 | 205637 | Arkham Horror: The Card Game | 0.544 | yes |
9 | 1997 | 42 | Tigris & Euphrates | 0.537 | yes |
10 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.526 | no |
11 | 2014 | 132531 | Roll for the Galaxy | 0.511 | yes |
12 | 2019 | 272453 | KeyForge: Age of Ascension | 0.511 | no |
13 | 2017 | 220308 | Gaia Project | 0.510 | yes |
14 | 2012 | 120677 | Terra Mystica | 0.506 | no |
15 | 2009 | 45134 | Arcana | 0.504 | no |
16 | 2018 | 257501 | KeyForge: Call of the Archons | 0.504 | no |
17 | 2012 | 126750 | Sky Tango | 0.474 | no |
18 | 2015 | 181279 | Fury of Dracula (Third/Fourth Edition) | 0.465 | no |
19 | 2010 | 25292 | Merchants & Marauders | 0.457 | no |
20 | 2012 | 124742 | Android: Netrunner | 0.447 | no |
21 | 2018 | 244711 | Newton | 0.445 | no |
22 | 2002 | 4098 | Age of Steam | 0.428 | no |
23 | 2019 | 286096 | Tapestry | 0.425 | no |
24 | 2012 | 117915 | Yedo | 0.420 | no |
25 | 2016 | 205398 | Citadels | 0.411 | no |
26 | 2016 | 167791 | Terraforming Mars | 0.410 | yes |
27 | 2017 | 174430 | Gloomhaven | 0.407 | no |
28 | 2017 | 229006 | SpyNet | 0.400 | yes |
29 | 2014 | 145371 | Three Kingdoms Redux | 0.393 | yes |
30 | 2016 | 207336 | Honshū | 0.392 | no |
31 | 2017 | 221107 | Pandemic Legacy: Season 2 | 0.390 | yes |
32 | 2017 | 205597 | Jump Drive | 0.383 | no |
33 | 2019 | 285775 | KeyForge: Worlds Collide | 0.379 | no |
34 | 2018 | 199792 | Everdell | 0.375 | no |
35 | 2008 | 39463 | Cosmic Encounter | 0.374 | no |
36 | 1999 | 47 | Chinatown | 0.373 | no |
37 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.363 | no |
38 | 2008 | 38707 | Bushido: Der Weg des Kriegers | 0.357 | no |
39 | 2003 | 6472 | A Game of Thrones | 0.354 | no |
40 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.354 | no |
41 | 2011 | 103343 | A Game of Thrones: The Board Game (Second Edition) | 0.350 | yes |
42 | 2016 | 171131 | Captain Sonar | 0.347 | no |
43 | 2012 | 104363 | Rex: Final Days of an Empire | 0.345 | no |
44 | 1998 | 3 | Samurai | 0.344 | no |
45 | 2019 | 274364 | Watergate | 0.344 | no |
46 | 2017 | 162886 | Spirit Island | 0.340 | yes |
47 | 2000 | 478 | Citadels | 0.333 | yes |
48 | 2011 | 70919 | Takenoko | 0.332 | no |
49 | 2019 | 265736 | Tiny Towns | 0.328 | yes |
50 | 2018 | 256643 | Neon Gods | 0.328 | no |
51 | 2018 | 255692 | New Frontiers | 0.323 | yes |
52 | 2010 | 73439 | Troyes | 0.321 | no |
53 | 2016 | 155821 | Inis | 0.319 | no |
54 | 2005 | 15062 | Shadows over Camelot | 0.318 | no |
55 | 2006 | 21882 | Blue Moon City | 0.318 | no |
56 | 2016 | 148261 | SeaFall | 0.315 | no |
57 | 2013 | 144239 | Impulse | 0.315 | no |
58 | 2016 | 192945 | Coal Baron: The Great Card Game | 0.305 | no |
59 | 2014 | 150926 | Roll Through the Ages: The Iron Age | 0.302 | no |
60 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.302 | no |
61 | 2019 | 285984 | Last Bastion | 0.301 | no |
62 | 2019 | 270971 | Era: Medieval Age | 0.286 | no |
63 | 2011 | 59959 | Letters from Whitechapel | 0.282 | no |
64 | 2016 | 187653 | Covert | 0.273 | no |
65 | 2018 | 209324 | The World of SMOG: Rise of Moloch | 0.271 | no |
66 | 2014 | 164928 | Orléans | 0.267 | no |
67 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.267 | yes |
68 | 2000 | 475 | Taj Mahal | 0.257 | no |
69 | 2015 | 161936 | Pandemic Legacy: Season 1 | 0.257 | no |
70 | 2016 | 196340 | Yokohama | 0.255 | no |
71 | 2004 | 9609 | War of the Ring | 0.252 | no |
72 | 2007 | 22827 | StarCraft: The Board Game | 0.248 | no |
73 | 2017 | 190082 | Whitehall Mystery | 0.246 | yes |
74 | 2008 | 33159 | Middle Kingdom | 0.244 | no |
75 | 2017 | 215311 | Downforce | 0.243 | yes |
76 | 2019 | 266810 | Paladins of the West Kingdom | 0.236 | no |
77 | 2011 | 103649 | The City | 0.233 | no |
78 | 2012 | 121408 | Trains | 0.231 | yes |
79 | 2018 | 245638 | Coimbra | 0.227 | yes |
80 | 2019 | 264052 | Circadians: First Light | 0.226 | no |
81 | 2012 | 122515 | Keyflower | 0.224 | no |
82 | 2009 | 33160 | Endeavor | 0.222 | no |
83 | 2012 | 129736 | Cockroach Poker Royal | 0.222 | yes |
84 | 2019 | 260710 | Amul | 0.221 | no |
85 | 2005 | 12493 | Twilight Imperium: Third Edition | 0.216 | yes |
86 | 2017 | 145601 | Deadline | 0.215 | no |
87 | 2008 | 33107 | Senji | 0.214 | no |
88 | 2017 | 234487 | Altiplano | 0.211 | no |
89 | 2018 | 236457 | Architects of the West Kingdom | 0.206 | no |
90 | 1995 | 112 | Condottiere | 0.206 | yes |
91 | 2016 | 193037 | Dead of Winter: The Long Night | 0.202 | no |
92 | 1992 | 118 | Modern Art | 0.201 | yes |
93 | 2017 | 232979 | Richard the Lionheart | 0.198 | no |
94 | 2019 | 295564 | Unmatched Game System | 0.197 | no |
95 | 2013 | 127024 | Room 25 | 0.197 | no |
96 | 2014 | 146886 | La Granja | 0.191 | no |
97 | 2016 | 184919 | Greedy Greedy Goblins | 0.190 | no |
98 | 2012 | 123540 | Tokaido | 0.189 | no |
99 | 1874 | 10799 | Old Maid | 0.188 | no |
100 | 2019 | 253344 | Cthulhu: Death May Die | 0.187 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.86 |
Decision Tree | roc_auc | binary | 0.77 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think Quinns is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2017 | 233078 | Twilight Imperium: Fourth Edition | 0.866 | no |
2018 | 205896 | Rising Sun | 0.722 | no |
2016 | 205059 | Mansions of Madness: Second Edition | 0.652 | no |
2019 | 281946 | Aftermath | 0.591 | no |
2011 | 96848 | Mage Knight Board Game | 0.566 | no |
What games does the model think Quinns is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1970 | 5519 | Air Charter | 0.001 | yes |
2011 | 91536 | Quarriors! | 0.001 | yes |
1966 | 5894 | Twister | 0.001 | yes |
2018 | 262547 | Don't Get Got! | 0.002 | yes |
2016 | 192547 | Go Cuckoo! | 0.002 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Robinson Crusoe: Adventures on the Cursed Island | Impulse | Roll for the Galaxy | Fury of Dracula (Third/Fourth Edition) | Star Wars: Rebellion | Twilight Imperium: Fourth Edition | Rising Sun | Aftermath |
2 | Terra Mystica | Room 25 | Three Kingdoms Redux | Pandemic Legacy: Season 1 | Mansions of Madness: Second Edition | Gaia Project | KeyForge: Call of the Archons | KeyForge: Age of Ascension |
3 | Sky Tango | Relic | Roll Through the Ages: The Iron Age | Specter Ops | Arkham Horror: The Card Game | Gloomhaven | Newton | Tapestry |
4 | Android: Netrunner | Pelican Bay | Orléans | 504 | Citadels | SpyNet | Everdell | KeyForge: Worlds Collide |
5 | Yedo | Rococo | La Granja | Mysterium | Terraforming Mars | Pandemic Legacy: Season 2 | Cosmic Encounter: 42nd Anniversary Edition | Clank!: Legacy – Acquisitions Incorporated |
6 | Rex: Final Days of an Empire | Sail to India | Dead of Winter: A Crossroads Game | Runebound (Third Edition) | Honshū | Jump Drive | Neon Gods | Watergate |
7 | Trains | Tash-Kalar: Arena of Legends | Five Tribes | The Voyages of Marco Polo | Captain Sonar | Spirit Island | New Frontiers | Tiny Towns |
8 | Keyflower | Glass Road | Onirim (Second Edition) | A Game of Thrones: The Card Game (Second Edition) | Inis | Whitehall Mystery | The World of SMOG: Rise of Moloch | The Lord of the Rings: Journeys in Middle-Earth |
9 | Cockroach Poker Royal | Warhammer: Diskwars | Star Wars: Imperial Assault | Mission: Red Planet (Second Edition) | SeaFall | Downforce | Coimbra | Last Bastion |
10 | Tokaido | Ghost Blitz: 5 to 12 | Ultimate Werewolf | Mombasa | Coal Baron: The Great Card Game | Deadline | Architects of the West Kingdom | Era: Medieval Age |
11 | Merchant of Venus (Second Edition) | Ultimate Werewolf: Inquisition | Roll Through the Ages: The Iron Age with Mediterranean Expansion | Get The Cheese! | Covert | Altiplano | Betrayal Legacy | Paladins of the West Kingdom |
12 | Space Cadets | Blood Bound | AquaSphere | Bad Bunnies | Yokohama | Richard the Lionheart | Root | Circadians: First Light |
13 | Mafia: Vendetta | Time 'n' Space | Arcadia Quest | Die Fiesen 7 | Dead of Winter: The Long Night | Crossfire | Gen7: A Crossroads Game | Amul |
14 | Il Vecchio | Legacy: The Testament of Duke de Crecy | Istanbul | Forbidden Stars | Greedy Greedy Goblins | Santo Domingo | Sonar Family | Unmatched Game System |
15 | Descent: Journeys in the Dark (Second Edition) | BioShock Infinite: The Siege of Columbia | DungeonQuest Revised Edition | Yashima: Legend of the Kami Masters | Pandemic: Iberia | Noria | Underwater Cities | Cthulhu: Death May Die |
16 | The Last Banquet | Francis Drake | Camel Up | Porta Nigra | Junta: Las Cartas | Stop Thief! | Treasure Island | Maracaibo |
17 | Starship Merchants | Bruxelles 1893 | Splendor | Arboretum | Game of Thrones: The Iron Throne | Immortals | The Grizzled: Armistice Edition | Marvel Champions: The Card Game |
18 | Winter Tales | Coal Baron | Deception: Murder in Hong Kong | My Village | Kepler-3042 | Mountains of Madness | Book of Dragons | The Magnificent |
19 | Milestones | The Little Prince: Make Me a Planet | Nations: The Dice Game | Bastion | Great Western Trail | Sagrada | Pandemic: Fall of Rome | Unmatched: Robin Hood vs. Bigfoot |
20 | Love Letter | Concordia | Akrotiri | Warhammer Quest: The Adventure Card Game | Flamme Rouge | Magic Maze | Lords of Hellas | Unmatched: Battle of Legends, Volume One |
21 | Clash of Cultures | Carcassonne: South Seas | Kakerlakentanz | March of the Ants | Black Orchestra | Legend of the Five Rings: The Card Game | Metro X | Hellenica: Story of Greece |
22 | Edo | Euphoria: Build a Better Dystopia | King of New York | Lanterns: The Harvest Festival | 75 Gnom' Street | First Martians: Adventures on the Red Planet | Renegade | Black Rose Wars |
23 | Wiz-War (Eighth Edition) | Lewis & Clark: The Expedition | Imperial Settlers | Blood Rage | Not Alone | Dragonfire | Railroad Ink: Deep Blue Edition | Tainted Grail: The Fall of Avalon |
24 | Zombicide | Patchistory | New Dawn | Tiny Epic Galaxies | Aeon's End | Fallout | AuZtralia | Victorian Masterminds |
25 | Ghost Blitz 2 | Ghooost! | Pandemic: The Cure | A Study in Emerald (Second Edition) | New Angeles | Clank! In! Space!: A Deck-Building Adventure | Geistesblitz Junior | Kodachi |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
Quinns | owned | validation | GLM | roc_auc | 0.763 |
Quinns | owned | validation | Decision Tree | roc_auc | 0.571 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 296151 | Viscounts of the West Kingdom | 0.479 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.415 | no |
2020 | 184267 | On Mars | 0.365 | no |
2020 | 301880 | Raiders of Scythia | 0.327 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.285 | yes |
2020 | 281655 | High Frontier 4 All | 0.268 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.247 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.245 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.224 | no |
2020 | 256317 | Guild Master | 0.214 | no |
2020 | 302809 | Betrayal at Mystery Mansion | 0.200 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.184 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.170 | no |
2020 | 300001 | Renature | 0.159 | no |
2020 | 318084 | Furnace | 0.142 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.137 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.135 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.131 | no |
2020 | 282922 | Windward | 0.122 | no |
2020 | 318983 | Faiyum | 0.113 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.104 | no |
2020 | 297892 | Dodelido Extreme | 0.097 | no |
2020 | 286749 | Hansa Teutonica: Big Box | 0.093 | no |
2020 | 297030 | Tekhenu: Obelisk of the Sun | 0.091 | no |
2020 | 302723 | Forgotten Waters | 0.084 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.081 | no |
2020 | 281466 | Yedo: Deluxe Master Set | 0.077 | no |
2020 | 310442 | Feierabend | 0.077 | no |
2020 | 293889 | Fallout Shelter: The Board Game | 0.075 | no |
2020 | 293014 | Nidavellir | 0.074 | no |
2020 | 293556 | Gloomy Graves | 0.073 | no |
2020 | 298371 | Wild Space | 0.070 | no |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.068 | no |
2020 | 256999 | Project: ELITE | 0.068 | no |
2020 | 317985 | Beyond the Sun | 0.066 | no |
2020 | 322809 | Diabolik: Heists and Investigations | 0.065 | no |
2020 | 296100 | Rococo: Deluxe Edition | 0.063 | yes |
2020 | 319966 | The King Is Dead: Second Edition | 0.063 | no |
2020 | 257193 | Starcadia Quest | 0.061 | no |
2020 | 304285 | Infinity Gauntlet: A Love Letter Game | 0.061 | no |
2020 | 295905 | Cosmic Frog | 0.061 | no |
2020 | 279537 | The Search for Planet X | 0.059 | yes |
2020 | 293678 | Stellar | 0.059 | no |
2020 | 271002 | Myraclia | 0.059 | no |
2020 | 318977 | MicroMacro: Crime City | 0.055 | no |
2020 | 296626 | Sonora | 0.055 | no |
2020 | 316750 | The Princess Bride Adventure Book Game | 0.054 | no |
2020 | 313008 | Apollo: A Game Inspired by NASA Moon Missions | 0.054 | no |
2020 | 302465 | Obsidia | 0.053 | no |
2020 | 316412 | The LOOP | 0.053 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2021 | 339906 | The Hunger | 0.492 | no |
2 | 2022 | 310873 | Carnegie | 0.397 | no |
3 | 2021 | 343905 | Boonlake | 0.385 | no |
4 | 2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.360 | no |
5 | 2021 | 329670 | Pandemic: Hot Zone – Europe | 0.241 | no |
6 | 2021 | 340466 | Unfathomable | 0.238 | no |
7 | 2022 | 317511 | Tindaya | 0.222 | no |
8 | 2022 | 256680 | Return to Dark Tower | 0.219 | no |
9 | 2023 | 349793 | Age of Rome | 0.216 | no |
10 | 2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.200 | no |
11 | 2021 | 316080 | KeyForge: Dark Tidings | 0.191 | no |
12 | 2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.168 | no |
13 | 2022 | 295770 | Frosthaven | 0.159 | no |
14 | 2021 | 344277 | Corrosion | 0.150 | no |
15 | 2021 | 339484 | Savannah Park | 0.145 | no |
16 | 2021 | 285967 | Ankh: Gods of Egypt | 0.145 | no |
17 | 2021 | 342942 | Ark Nova | 0.140 | no |
18 | 2021 | 304783 | Hadrian's Wall | 0.137 | no |
19 | 2022 | 283137 | Human Punishment: The Beginning | 0.133 | no |
20 | 2021 | 249277 | Brazil: Imperial | 0.127 | no |
21 | 2021 | 346553 | Heuschrecken Poker | 0.127 | no |
22 | 2022 | 346199 | A Game of Thrones: B'Twixt | 0.125 | no |
23 | 2021 | 338834 | MicroMacro: Crime City – Full House | 0.125 | no |
24 | 2022 | 266064 | Trudvang Legends | 0.124 | no |
25 | 2022 | 305096 | Endless Winter: Paleoamericans | 0.122 | no |
26 | 2022 | 331106 | The Witcher: Old World | 0.119 | no |
27 | 2021 | 328286 | Mission ISS | 0.119 | no |
28 | 2022 | 322524 | Bardsung | 0.115 | no |
29 | 2021 | 338980 | Eastern Empires | 0.114 | no |
30 | 2021 | 326804 | Rorschach | 0.110 | no |
31 | 2021 | 322708 | Descent: Legends of the Dark | 0.101 | no |
32 | 2022 | 273814 | Deliverance | 0.097 | no |
33 | 2021 | 325698 | Juicy Fruits | 0.095 | no |
34 | 2022 | 251661 | Oathsworn: Into the Deepwood | 0.093 | no |
35 | 2021 | 328859 | Hula-Hoo! | 0.092 | no |
36 | 2021 | 221298 | NewSpeak | 0.092 | no |
37 | 2022 | 326933 | Unmatched: Redemption Row | 0.091 | no |
38 | 2022 | 326934 | Unmatched: Hell's Kitchen | 0.091 | no |
39 | 2022 | 288080 | Dice Realms | 0.089 | no |
40 | 2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.089 | no |
41 | 2022 | 319807 | Shogun no Katana | 0.086 | no |
42 | 2021 | 306202 | Philosophia: Floating World | 0.085 | no |
43 | 2021 | 324957 | The Snallygaster Situation: Kids on Bikes Board Game | 0.083 | no |
44 | 2021 | 299255 | Vienna Connection | 0.082 | no |
45 | 2021 | 338760 | Imperial Steam | 0.082 | no |
46 | 2021 | 309319 | Apogee | 0.081 | no |
47 | 2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.080 | no |
48 | 2022 | 308028 | Drop Drive | 0.080 | no |
49 | 2022 | 338067 | 6: Siege – The Board Game | 0.079 | no |
50 | 2021 | 332944 | Sobek: 2 Players | 0.076 | no |
51 | 2023 | 337627 | Voidfall | 0.072 | no |
52 | 2022 | 324894 | Free Radicals | 0.070 | no |
53 | 2021 | 283387 | Rocketmen | 0.069 | no |
54 | 2021 | 340455 | King of the Valley | 0.068 | no |
55 | 2021 | 291847 | Mantis Falls | 0.068 | no |
56 | 2022 | 315610 | Massive Darkness 2: Hellscape | 0.067 | no |
57 | 2021 | 286751 | Zombicide: 2nd Edition | 0.065 | no |
58 | 2021 | 277700 | Merchants Cove | 0.064 | no |
59 | 2021 | 339789 | Welcome to the Moon | 0.063 | no |
60 | 2021 | 340909 | Gloomholdin' | 0.063 | no |
61 | 2022 | 271601 | Feed the Kraken | 0.062 | no |
62 | 2021 | 342073 | Berried Treasure | 0.062 | no |
63 | 2021 | 331635 | Kameloot | 0.062 | no |
64 | 2021 | 316287 | Quest | 0.061 | no |
65 | 2022 | 311988 | Frostpunk: The Board Game | 0.061 | no |
66 | 2022 | 347703 | First Rat | 0.060 | no |
67 | 2022 | 275215 | Namiji | 0.060 | no |
68 | 2021 | 260524 | Beyond Humanity: Colonies | 0.059 | no |
69 | 2021 | 316786 | Tabannusi: Builders of Ur | 0.059 | no |
70 | 2021 | 315234 | Embarcadero | 0.058 | no |
71 | 2021 | 299659 | Clash of Cultures: Monumental Edition | 0.057 | no |
72 | 2022 | 322656 | burncycle | 0.056 | no |
73 | 2021 | 308566 | Nova Lux | 0.056 | no |
74 | 2021 | 295947 | Cascadia | 0.056 | no |
75 | 2021 | 328569 | Mint Bid | 0.055 | no |
76 | 2021 | 341169 | Great Western Trail (Second Edition) | 0.055 | no |
77 | 2022 | 340325 | Vagrantsong | 0.055 | no |
78 | 2021 | 298378 | Maharaja | 0.054 | no |
79 | 2022 | 332393 | Bridge City Poker | 0.054 | no |
80 | 2021 | 322588 | Origins: First Builders | 0.054 | no |
81 | 2021 | 339905 | Love Letter: Princess Princess Ever After | 0.054 | no |
82 | 2021 | 332420 | Nexum Galaxy | 0.053 | no |
83 | 2021 | 320069 | Tavern Tales: Legends of Dungeon Drop | 0.052 | no |
84 | 2021 | 337324 | A.D.E.L.E. | 0.052 | no |
85 | 2021 | 293835 | Oltréé | 0.052 | no |
86 | 2021 | 300148 | Spy Connection | 0.052 | no |
87 | 2021 | 340237 | Wonder Book | 0.052 | no |
88 | 2021 | 292899 | Tribune | 0.052 | no |
89 | 2021 | 318709 | For Sale Autorama | 0.051 | no |
90 | 2022 | 284778 | Unmatched: Jurassic Park – Dr. Sattler vs. T. Rex | 0.051 | no |
91 | 2022 | 350316 | Wayfarers of the South Tigris | 0.051 | no |
92 | 2022 | 240980 | Blood on the Clocktower | 0.050 | yes |
93 | 2021 | 292375 | The Great Wall | 0.049 | no |
94 | 2021 | 273330 | Bloodborne: The Board Game | 0.049 | no |
95 | 2021 | 266448 | Imperium: The Contention | 0.049 | no |
96 | 2021 | 340834 | Gravwell: 2nd Edition | 0.049 | no |
97 | 2023 | 315727 | Last Light | 0.048 | no |
98 | 2021 | 281676 | Galactic Era | 0.048 | no |
99 | 2021 | 335541 | We Care: a Grizzled Game | 0.048 | no |
100 | 2022 | 281258 | Sub Terra II: Inferno's Edge | 0.047 | no |